axis.text.x = element_blank() )
> pie <- ggplot(df, aes(x = "", y=freq, fill = factor(class))) + + geom_bar(width = 1, stat = "identity") + + theme(axis.line = element_blank(), + plot.title = element_text(hjust=0.5)) + + labs(fill="class", + x=NULL, + y=NULL, + title="Pie Chart of class"...
ggparsort.val="asc",# Sort the value in ascending ordersort.by.groups=TRUE,# Sort inside each groupx.text.angle=90# Rotate vertically x axis texts)bp+font("x.text",size=8) sp<-ggscatter(mtcars,x="wt",y="mpg",add="reg.line",# Add regression lineconf.int=TRUE,# Add confidence ...
2.5) + ylim(0,(1.1*(max(df1952`, df1957`))) # X and Y axis limits # Add texts ...
barplot(sort(Number,decreasing = TRUE)) 当我添加x轴值时 axis(1,at = c$b, labels = c$b),正如预期的那样,它只是按字母顺序显示,如表中所述。相反,我需要的是根据y轴中的排序值添加X轴,而不使用GGPLOT2。 我试过 barplot(Number[order(Number,decreasing = TRUE),] 也没有工作。 由于“ alpha”...
sort_clarity<-arrange(sum_clarity,desc(Cou)) #对数据框 sum_clarity 根据 Cou 降序处理 diamonds$clarity<- factor(diamonds$clarity, levels = sort_clarity$clarity) ggplot(diamonds,aes(x=clarity,fill=color))+ geom_bar(width=1.0,colour="black",size=0.25)+ ...
("mye.seu.rds")mye.seu$celltype=factor(mye.seu$celltype,levels=sort(unique(mye.seu$celltype)))Idents(mye.seu)="celltype"VlnPlot(mye.seu,features=markerdf2$gene,pt.size=0,ncol=1)+scale_x_discrete("")+theme(axis.text.x.bottom=element_blank())ggsave("vln1.pdf",width=20,height=80,...
levels = my_sort)))+ theme_test(base_size = 15)+ labs(x=NULL,y='NO.of BGCs/genome')+ scale_y_continuous(limits = c(0,25))+ theme(legend.title = element_blank(), axis.title = element_text(size = 18), axis.text = element_text(color = 'black'), axis.text.x = element_...
cyl color="white", #Set bar border colors to white palette = "jco", #jco jourbal color palette sort.val = "asc", #Sort the value in ascending order sort.by.groups = TRUE, #Sort inside each group x.text.angle=90 #Rotate vertically x axis texts ) bp+font("x.text", size = 8)...
runif(6,-.5,.2) %>% sort(decreasing = T), runif(11,-.4,.1) %>% sort(decreasing ...